{"id":20238,"date":"2026-02-06T21:16:56","date_gmt":"2026-02-06T13:16:56","guid":{"rendered":"https:\/\/92it.top\/?p=20238"},"modified":"2026-02-06T21:29:35","modified_gmt":"2026-02-06T13:29:35","slug":"%e6%af%8f%e5%a4%a9%e5%90%83%e9%80%8f%e4%b8%80%e4%b8%aaai%e7%9f%a5%e8%af%86%e7%82%b9-%e6%9c%ba%e5%99%a8%e5%ad%a6%e4%b9%a0-2","status":"publish","type":"post","link":"https:\/\/92it.top\/?p=20238","title":{"rendered":"\u6bcf\u5929\u5403\u900f\u4e00\u4e2aAI\u77e5\u8bc6\u70b9 Transformer"},"content":{"rendered":"\n

\u8f6c\u8f7d\uff1a\u5c0f\u7ea2\u4e66 AI\u4ea7\u54c1\u8d75\u54e5<\/p>\n\n\n

\n
\"\"<\/figure><\/div>\n\n\n

\u524d\u8a00\ud83d\udd16<\/strong><\/p>\n\n\n\n

\n\n\n\n
    \n
  • \u4f60\u662f\u5426\u60ca\u53f9\u4e8e ChatGPT \u7684\u5bf9\u7b54\u5982\u6d41\u3001\u6587\u91c7\u5955\u5955\uff1f<\/li>\n\n\n\n
  • \u4f60\u662f\u5426\u597d\u5947 AI \u7ed8\u753b\uff08\u5982 Midjourney, Stable Diffusion\uff09\u662f\u5982\u4f55\u542c\u61c2\u4eba\u7c7b\u8981\u6c42\uff08\u63d0\u793a\u8bcd\uff09\u7684\uff1f<\/li>\n\n\n\n
  • \u4f60\u662f\u5426\u60f3\u77e5\u9053\u652f\u6491\u8d77\u8fd9\u4e9b\u5e94\u7528\u7684\u5e95\u5c42\u6280\u672f\u7a76\u7adf\u662f\u4ec0\u4e48\uff1f<\/li>\n<\/ul>\n\n\n\n

    \u4eca\u5929\uff0c\u6211\u4eec\u5c31\u6765\u804a\u804a\u8fd9\u4e2a AI \u65f6\u4ee3\u7684\u6e90\u5934\uff0c\u5b83\u5c31\u662f\u5927\u540d\u9f0e\u9f0e\u7684 \u2014\u2014Transformer \u6a21\u578b<\/strong>\u3002<\/p>\n\n\n\n

    2017 \u5e74\uff0c\u8c37\u6b4c\u4e00\u7bc7\u540d\u4e3a\u300aAttention Is All You Need\u300b\u7684\u8bba\u6587\u6a2a\u7a7a\u51fa\u4e16\uff0c\u63d0\u51fa\u7684 Transformer \u6a21\u578b\u5f7b\u5e95\u6539\u53d8\u4e86\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff08NLP\uff09\u4e43\u81f3\u6574\u4e2a AI \u9886\u57df\u7684\u6e38\u620f\u89c4\u5219\u3002\u5b83\u5c31\u662f\u6211\u4eec\u719f\u77e5\u7684 GPT \u7cfb\u5217\u6a21\u578b\u7684\u7956\u5148\u548c\u6838\u5fc3\u67b6\u6784\u3002<\/p>\n\n\n\n

    \u95f2\u8a00\u5c11\u53d9\uff0c\u5927\u5bb6\u51c6\u5907\u597d\uff0c\u54b1\uff0c\u51fa\u53d1\u4e86\u3002\u3002\u3002<\/p>\n\n\n\n

    \u3000\u3000<\/p>\n\n\n\n

    \u4e3a\u4ec0\u4e48\u6211\u4eec\u9700\u8981 Transformer\uff1f\ud83d\udd16<\/strong><\/p>\n\n\n\n

    \n\n\n\n

    \u5728 Transformer \u51fa\u73b0\u4e4b\u524d\uff0c\u5904\u7406\u5e8f\u5217\u6570\u636e\uff08\u6bd4\u5982\u4e00\u53e5\u8bdd\u3001\u4e00\u6bb5\u8bed\u97f3\uff09\u4e3b\u8981\u662f RNN\uff08\u5faa\u73af\u795e\u7ecf\u7f51\u7edc\uff09\u53ca\u5176\u53d8\u4f53 LSTM \u548c GRU\uff0c\u8fd9\u4e9b\u6211\u4eec\u5728\u524d\u9762\u7684\u7b14\u8bb0\u91cc\u90fd\u8bb2\u8fc7\u3002<\/p>\n\n\n\n

    \ud83d\udd39\u770b\u770b RNN\/LSTM \u662f\u600e\u6837\u5faa\u89c4\u8e48\u77e9\u7684<\/strong><\/p>\n\n\n\n

    RNN \u7684\u5de5\u4f5c\u65b9\u5f0f<\/strong>\uff1a\u975e\u5e38\u7b26\u5408\u4eba\u7c7b\u7684\u76f4\u89c9\uff0c\u4e00\u4e2a\u4e00\u4e2a\u5730\u5904\u7406\u3002\u5c31\u50cf\u6211\u4eec\u9605\u8bfb\u4e00\u6837\uff0c\u4ece\u53e5\u5b50\u7684\u7b2c\u4e00\u4e2a\u8bcd\u8bfb\u5230\u6700\u540e\u4e00\u4e2a\u8bcd\u3002<\/p>\n\n\n\n

      \n
    • \u5b83\u5728\u5904\u7406\u5f53\u524d\u8bcd\u65f6\uff0c\u4f1a\u53c2\u8003\u4e0a\u4e00\u4e2a\u8bcd\u4f20\u9012\u8fc7\u6765\u7684\u8bb0\u5fc6\uff08\u9690\u85cf\u72b6\u6001\uff09\u3002<\/li>\n\n\n\n
    • \u8fd9\u4e2a \u201c\u8bb0\u5fc6\u201d \u7406\u8bba\u4e0a\u5305\u542b\u4e86\u524d\u9762\u6240\u6709\u8bcd\u7684\u4fe1\u606f\u3002<\/li>\n<\/ul>\n\n\n\n

      \u8fd9\u79cd\u4e32\u884c\u5904\u7406\u7684\u6a21\u5f0f\uff0c\u5e26\u6765\u4e86\u4e24\u4e2a\u81f4\u547d\u7684\u95ee\u9898<\/strong>\uff1a<\/p>\n\n\n\n

        \n
      • A. \u8ba1\u7b97\u6548\u7387\u4f4e\u4e0b\uff0c\u65e0\u6cd5\u5e76\u884c\n
          \n
        • \u60f3\u8c61\u4e00\u4e0b\uff0c\u4f60\u6709\u4e00\u6761\u957f\u957f\u7684\u961f\u4f0d\u8981\u8fc7\u5b89\u68c0\uff0c\u6bcf\u4e2a\u4eba\u90fd\u5fc5\u987b\u7b49\u524d\u9762\u90a3\u4e2a\u4eba\u68c0\u67e5\u5b8c\u4e86\u624d\u80fd\u8f6e\u5230\u81ea\u5df1\u3002RNN \u5c31\u662f\u8fd9\u6837\uff0c\u5b83\u5fc5\u987b\u5904\u7406\u5b8c\u7b2ct<\/code>\u4e2a\u8bcd\uff0c\u624d\u80fd\u5f00\u59cb\u5904\u7406\u7b2ct+1<\/code>\u4e2a\u8bcd\u3002\u5728\u52a8\u8f84\u9700\u8981\u5904\u7406\u6210\u5343\u4e0a\u4e07\u4e2a\u8bcd\u7684\u4eca\u5929\uff0c\u8fd9\u79cd\u9f9f\u901f\u6210\u4e86\u5de8\u5927\u7684\u74f6\u9888\u3002\u4f60\u65e0\u6cd5\u628a\u4e00\u53e5\u8bdd\u5207\u6210\u51e0\u6bb5\uff0c\u8ba9\u51e0\u4e2a\u5904\u7406\u5668\u540c\u65f6\u5f00\u5de5\uff0c\u56e0\u4e3a\u540e\u9762\u7684\u5904\u7406\u4f9d\u8d56\u4e8e\u524d\u9762\u7684\u7ed3\u679c\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n
        • B. \u957f\u671f\u4f9d\u8d56\u95ee\u9898\uff08Long-Term Dependency Problem\uff09\n
            \n
          • RNN \u7684\u8bb0\u5fc6\u529b\u662f\u6709\u9650\u7684\u3002\u5f53\u53e5\u5b50\u5f88\u957f\u65f6\uff0c\u4fe1\u606f\u5728\u4f20\u9012\u8fc7\u7a0b\u4e2d\u4f1a\u4e0d\u65ad\u88ab\u7a00\u91ca\u6216\u9057\u5fd8\u3002<\/li>\n\n\n\n
          • \u6bd4\u5982\u8fd9\u53e5\u8bdd\uff1a\u201c\u6211\u5728\u6cd5\u56fd\u957f\u5927\uff0c\u4f1a\u8bf4\u4e00\u53e3\u6d41\u5229\u7684\u2026\u2026\u201d\u3002\u8981\u9884\u6d4b\u6700\u540e\u4e00\u4e2a\u8bcd\u662f \u201c\u6cd5\u8bed\u201d\uff0c\u6a21\u578b\u9700\u8981\u8bb0\u4f4f\u6700\u5f00\u5934\u7684 \u201c\u6cd5\u56fd\u201d\u3002\u4f46\u5982\u679c\u4e2d\u95f4\u9694\u4e86\u51e0\u5341\u4e2a\u751a\u81f3\u4e0a\u767e\u4e2a\u8bcd\uff0cRNN \u5f88\u53ef\u80fd\u5df2\u7ecf\u5fd8\u4e86 \u201c\u6cd5\u56fd\u201d \u8fd9\u56de\u4e8b\u4e86\u3002<\/li>\n\n\n\n
          • LSTM \u548c GRU \u901a\u8fc7\u5f15\u5165\u95e8\u63a7\u673a\u5236<\/strong>\uff08\u50cf\u8bb0\u5fc6\u7684\u9600\u95e8\uff09\u5728\u4e00\u5b9a\u7a0b\u5ea6\u4e0a\u7f13\u89e3\u4e86\u8fd9\u4e2a\u95ee\u9898\uff0c\u4f46\u5e76\u672a\u6839\u6cbb\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n

            \ud83d\udca1 \u5c0f\u7ed3<\/strong>\uff1a<\/p>\n\n\n\n

            RNN\/LSTM \u5c31\u50cf\u4e00\u4e2a\u8bb0\u5fc6\u529b\u4e0d\u592a\u597d\u3001\u8fd8\u5fc5\u987b\u6309\u90e8\u5c31\u73ed\u5de5\u4f5c\u7684\u8001\u5b66\u7a76\u3002AI \u9700\u8981\u4e00\u4e2a\u65e2\u80fd\u770b\u5f97\u8fdc\u3001\u8bb0\u5f97\u7262\uff0c\u53c8\u80fd\u5e76\u884c\u8ba1\u7b97\u3001\u901f\u5ea6\u98de\u5feb\u7684\u5929\u624d\u5c11\u5e74\u3002\u4e8e\u662f\uff0cTransformer \u5e94\u8fd0\u800c\u751f\u3002<\/p>\n\n\n\n

            \u3000\u3000<\/p>\n\n\n\n

            Transformer \u7684\u6838\u5fc3\u601d\u60f3 \u2014\u2014 Attention Is All You Need!\ud83d\udd16<\/strong><\/p>\n\n\n\n

            \n\n\n\n

            Transformer \u6254\u6389\u4e86 RNN \u7684\u5faa\u73af\u7ed3\u6784\uff0c\u53e6\u8d77\u7089\u7076\u3002\u5b83\u7684\u6838\u5fc3\u6b66\u5668\u53ea\u6709\u4e00\u4e2a\uff0c\u5c31\u662f\u8bba\u6587\u6807\u9898\u6240\u5f3a\u8c03\u7684 \u2014\u2014 \u6ce8\u610f\u529b\u673a\u5236\uff08Attention Mechanism\uff09\uff0c\u66f4\u51c6\u786e\u5730\u8bf4\uff0c\u662f\u81ea\u6ce8\u610f\u529b\u673a\u5236\uff08Self-Attention\uff09<\/strong>\u3002\u4e0b\u9762\u8fd9\u4e2a\u7ed3\u6784\u56fe\u5f88\u7ecf\u5178\uff0c\u76f4\u63a5\u4e0a\u539f\u56fe\uff1a<\/p>\n\n\n

            \n
            \"\"<\/figure><\/div>\n\n\n

            \ud83d\udd39 \u4ec0\u4e48\u662f\u81ea\u6ce8\u610f\u529b\u673a\u5236\uff1f<\/strong><\/p>\n\n\n\n

            \u81ea\u6ce8\u610f\u529b\u673a\u5236\uff0c\u5141\u8bb8\u6a21\u578b\u5728\u5904\u7406\u4e00\u4e2a\u8bcd\u7684\u65f6\u5019\uff0c\u80fd\u591f\u540c\u65f6\u3001\u76f4\u63a5\u5730\u6ce8\u610f\u5230\u53e5\u5b50\u4e2d\u4efb\u4f55\u4e00\u4e2a\u5176\u4ed6\u8bcd\uff0c\u5e76\u6839\u636e\u76f8\u5173\u6027\u7684\u5927\u5c0f\uff0c\u8d4b\u4e88\u4e0d\u540c\u7684 \u201c\u6ce8\u610f\u529b\u6743\u91cd\u201d\u3002<\/p>\n\n\n\n

            \u5b83\u5f7b\u5e95\u6253\u7834\u4e86 RNN \u7684\u987a\u5e8f\u4f9d\u8d56\uff0c\u5b9e\u73b0\u4e86\u4e00\u6b65\u5230\u4f4d\u3001\u7eb5\u89c8\u5168\u5c40\u3002<\/p>\n\n\n\n

            \u6211\u4eec\u770b\u4e00\u4e2a\u4f8b\u5b50\uff1a<\/p>\n\n\n\n

            The old dog didn’t cross the street because it was too tired.<\/strong><\/p>\n\n\n\n

            (\u90a3\u4e2a\u8001\u72d7\u6ca1\u6709\u8fc7\u9a6c\u8def\uff0c\u56e0\u4e3a\u5b83\u592a\u7d2f\u4e86\u3002)<\/p>\n\n\n\n

            \u8fd9\u91cc\u7684 it<\/code> \u6307\u7684\u662f\u8c01\uff1f\u662f dog<\/code> \u8fd8\u662f street<\/code>\uff1f<\/p>\n\n\n\n

              \n
            • \u5bf9\u4e8e\u4eba\u7c7b\u6765\u8bf4\uff0c\u8fd9\u5f88\u7b80\u5355\uff0cit<\/code> \u6307\u7684\u662f animal<\/code>\u3002<\/li>\n\n\n\n
            • \u5bf9\u4e8e\u6a21\u578b\u6765\u8bf4\uff0c\u5f53\u5b83\u5904\u7406 it<\/code> \u8fd9\u4e2a\u8bcd\u65f6\uff0c\u81ea\u6ce8\u610f\u529b\u673a\u5236\u4f1a\u8ba1\u7b97 it<\/code> \u548c\u53e5\u5b50\u4e2d\u6240\u6709\u5176\u4ed6\u8bcd\u7684\u76f8\u5173\u6027\u5206\u6570<\/strong>\u3002\u5b83\u4f1a\u53d1\u73b0 it<\/code> \u548c animal<\/code> \u7684\u76f8\u5173\u6027\u5206\u6570\u6700\u9ad8\uff0c\u548c street<\/code> \u7684\u76f8\u5173\u6027\u5f88\u4f4e\u3002<\/li>\n\n\n\n
            • \u56e0\u6b64\uff0c\u5728\u751f\u6210 it<\/code> \u7684\u65b0\u8868\u793a\u65f6\uff0c\u6a21\u578b\u4f1a\u628a\u66f4\u591a\u7684 \u201c\u6ce8\u610f\u529b\u201d \u653e\u5728 animal<\/code> \u7684\u4fe1\u606f\u4e0a\u3002<\/li>\n<\/ul>\n\n\n\n

              \u81ea\u6ce8\u610f\u529b\u7684\u9ad8\u660e\u4e4b\u5904\u5728\u4e8e\uff1a\u5b83\u8ba9\u53e5\u5b50\u4e2d\u4efb\u610f\u4e24\u4e2a\u8bcd\u4e4b\u95f4\u7684\u8ddd\u79bb\u90fd\u53d8\u6210\u4e86 1\u3002\u4e0d\u7ba1 \u201c\u6cd5\u56fd\u201d \u548c \u201c\u6cd5\u8bed\u201d \u9694\u4e86\u591a\u8fdc\uff0c\u6a21\u578b\u90fd\u80fd\u77ac\u95f4\u5efa\u7acb\u8d77\u5b83\u4eec\u7684\u76f4\u63a5\u8054\u7cfb\u3002\u957f\u671f\u4f9d\u8d56\u95ee\u9898\uff0c\u8fce\u5203\u800c\u89e3\uff01<\/p>\n\n\n\n

              \u66f4\u91cd\u8981\u7684\u662f\uff0c\u8fd9\u4e9b\u6ce8\u610f\u529b\u7684\u8ba1\u7b97\uff0c\u5bf9\u4e8e\u6240\u6709\u8bcd\u6765\u8bf4\u90fd\u662f\u53ef\u4ee5\u5e76\u884c\u8fdb\u884c\u7684\uff01\u8fd9\u5c31\u89e3\u51b3\u4e86 RNN \u7684\u6548\u7387\u74f6\u9888\u3002<\/p>\n\n\n\n

              \u3000\u3000<\/p>\n\n\n\n

              \ud83d\udd39 \u81ea\u6ce8\u610f\u529b\u7684\u5b9e\u73b0\uff1aQ\u3001K\u3001V \u4e09\u4f4d\u4e00\u4f53<\/strong><\/p>\n\n\n\n

              \u90a3\u4e48\uff0c\u8fd9\u4e2a\u76f8\u5173\u6027\u662f\u600e\u4e48\u8ba1\u7b97\u51fa\u6765\u7684\u5462\uff1f\u8fd9\u91cc\u5c31\u8981\u5f15\u5165 Transformer \u91cc\u6700\u6838\u5fc3\u7684\u4e09\u4e2a\u6982\u5ff5\uff1aQuery\uff08\u67e5\u8be2\uff09\u3001Key\uff08\u952e\uff09\u3001Value\uff08\u503c\uff09<\/strong>\u3002<\/p>\n\n\n\n

              \u8fd9\u662f\u6574\u4e2a Transformer \u6700\u96be\u7406\u89e3\u4f46\u4e5f\u662f\u6700\u5173\u952e\u7684\u90e8\u5206\uff0c\u6211\u4f1a\u8bb2\u5f97\u975e\u5e38\u7ec6\u3002\u81ea\u6ce8\u610f\u529b\u7684\u516c\u5f0f\u5982\u4e0b\uff1a<\/p>\n\n\n

              \n
              \"\"<\/figure><\/div>\n\n\n

              \u662f\u4e0d\u662f\u770b\u61f5\u4e86\uff1f\u5148\u5fd8\u6389\u516c\u5f0f\uff0c\u5047\u8bbe\u4f60\u5728\u4e00\u4e2a\u56fe\u4e66\u9986\u67e5\u8d44\u6599\uff1a<\/p>\n\n\n\n

                \n
              • Query (Q)<\/strong>\uff1a\u4f60\u8111\u5b50\u91cc\u7684\u95ee\u9898\u3002\uff08\u6bd4\u5982\uff1a\u201c\u6211\u60f3\u627e\u5173\u4e8e\u4eba\u5de5\u667a\u80fd\u5386\u53f2\u7684\u4e66\u3002\u201d\uff09<\/li>\n\n\n\n
              • Key (K)<\/strong>\uff1a\u4e66\u67b6\u4e0a\u6bcf\u672c\u4e66\u7684\u4e66\u540d\u6216\u6807\u7b7e\u3002\uff08\u6bd4\u5982\uff1a\u300aAI \u7b80\u53f2\u300b\u3001\u300a\u673a\u5668\u5b66\u4e60\u300b\u3001\u300a\u70f9\u996a\u5927\u5168\u300b\uff09<\/li>\n\n\n\n
              • Value (V)<\/strong>\uff1a\u6bcf\u672c\u4e66\u7684\u5b9e\u9645\u5185\u5bb9\u3002<\/li>\n<\/ul>\n\n\n\n

                \u81ea\u6ce8\u610f\u529b\u7684\u8fc7\u7a0b\u5c31\u662f\uff1a<\/p>\n\n\n\n

                  \n
                1. \u51c6\u5907\u5de5\u4f5c<\/strong>\uff1a\u5bf9\u4e8e\u8f93\u5165\u53e5\u5b50\u4e2d\u7684\u6bcf\u4e00\u4e2a\u8bcd\uff0c\u6211\u4eec\u90fd\u901a\u8fc7\u4e09\u4e2a\u4e0d\u540c\u7684\u6743\u91cd\u77e9\u9635\uff08W_Q\u200b\u3001W_K\u200b\u3001W_V\u200b\uff09\u628a\u5b83\u4ece\u539f\u59cb\u7684\u8bcd\u5d4c\u5165\uff08Word Embedding\uff09\u5411\u91cf\uff0c\u5206\u522b\u53d8\u6362\u6210\u4e09\u4e2a\u65b0\u7684\u5411\u91cf\uff1aQuery \u5411\u91cf<\/strong>\u3001Key \u5411\u91cf<\/strong>\u3001Value \u5411\u91cf<\/strong>\u3002\u4e5f\u5c31\u662f\u8bf4\uff0c\u6bcf\u4e2a\u8bcd\u73b0\u5728\u90fd\u8eab\u517c\u4e09\u804c\uff1a\u5b83\u65e2\u662f\u4e00\u4e2a\u63d0\u95ee\u8005 (Q)\uff0c\u4e5f\u662f\u4e00\u4e2a\u88ab\u68c0\u7d22\u7684\u6807\u7b7e (K)\uff0c\u8fd8\u662f\u4fe1\u606f\u672c\u8eab\u7684\u627f\u8f7d\u8005 (V)\u3002<\/li>\n\n\n\n
                2. \u8ba1\u7b97\u6ce8\u610f\u529b\u5206\u6570\uff08\u6253\u5206\uff09<\/strong>\uff1a\u5f53\u6211\u4eec\u8981\u8ba1\u7b97 A \u8bcd\u7684\u65b0\u8868\u793a\u65f6\uff0c\u6211\u4eec\u7528 A \u8bcd\u7684Query \u5411\u91cf\uff08Q_A\uff09<\/strong>\uff0c\u53bb\u548c\u53e5\u5b50\u91cc\u6240\u6709\u8bcd\uff08\u5305\u62ec A \u81ea\u5df1\uff09\u7684Key \u5411\u91cf\uff08K_A\uff0cK_B\uff0cK_C \u2026\uff09\u8fdb\u884c\u70b9\u79ef\u8fd0\u7b97\u3002\u8fd9\u4e2a\u70b9\u79ef\u7684\u7ed3\u679c\uff0c\u5c31\u4ee3\u8868\u4e86 \u201cA \u8bcd\u5bf9\u5176\u4ed6\u6bcf\u4e2a\u8bcd\u7684\u5173\u6ce8\u7a0b\u5ea6\u201d\uff0c\u5373\u6ce8\u610f\u529b\u5206\u6570\u3002\n
                    \n
                  • Score(A,B)=Q_A\u200b*K_B\u200b<\/li>\n<\/ul>\n<\/li>\n\n\n\n
                  • \u5206\u6570\u5f52\u4e00\u5316\uff08\u6743\u91cd\u5206\u914d\uff09\uff1a\u5f97\u5230\u7684\u5206\u6570\u6709\u9ad8\u6709\u4f4e\uff0c\u6211\u4eec\u9700\u8981\u628a\u5b83\u4eec\u8f6c\u6362\u6210\u4e00\u4e2a\u603b\u548c\u4e3a 1 \u7684\u6982\u7387\u5206\u5e03\uff0c\u8fd9\u6837\u624d\u597d\u5206\u914d\u6ce8\u610f\u529b\u9884\u7b97\u3002\n
                      \n
                    • \u9996\u5148\uff0c\u5c06\u5206\u6570\u9664\u4ee5\u4e00\u4e2a\u7f29\u653e\u56e0\u5b50\uff08\u901a\u5e38\u662f Key \u5411\u91cf\u7ef4\u5ea6\u7684\u5e73\u65b9\u6839\uff09\u3002\u8fd9\u4e00\u6b65\u662f\u4e3a\u4e86\u5728\u8bad\u7ec3\u65f6\u68af\u5ea6\u66f4\u7a33\u5b9a\uff0c\u53ef\u4ee5\u5148\u7406\u89e3\u4e3a\u4e00\u4e2a\u6280\u672f\u5904\u7406\u3002<\/li>\n\n\n\n
                    • \u7136\u540e\uff0c\u5c06\u7f29\u653e\u540e\u7684\u5206\u6570\u8f93\u5165\u5230\u4e00\u4e2aSoftmax \u51fd\u6570<\/strong>\u4e2d\u3002Softmax \u4f1a\u628a\u4e00\u7ec4\u4efb\u610f\u6570\u503c\uff0c\u53d8\u6210\u4e00\u7ec4\u603b\u548c\u4e3a 1 \u7684\u767e\u5206\u6bd4\uff0c\u5373\u6ce8\u610f\u529b\u6743\u91cd\u3002\u5206\u6570\u8d8a\u9ad8\u7684\u8bcd\uff0c\u5f97\u5230\u7684\u767e\u5206\u6bd4\uff08\u6743\u91cd\uff09\u5c31\u8d8a\u9ad8\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n
                    • \u52a0\u6743\u6c42\u548c\uff08\u4fe1\u606f\u6c47\u603b\uff09\u6700\u540e\uff0c\u7528\u4e0a\u4e00\u6b65\u5f97\u5230\u7684\u6ce8\u610f\u529b\u6743\u91cd\uff0c\u53bb\u4e58\u4ee5\u6bcf\u4e2a\u8bcd\u7684Value \u5411\u91cf<\/strong>\uff0c\u7136\u540e\u628a\u5b83\u4eec\u5168\u90e8\u52a0\u8d77\u6765\u3002\n
                        \n
                      • New_A=weight_A\u2217V_A\u200b+weight_B\u2217V_B\u200b+weight_C\u2217V_C\u200b+\u2026<\/li>\n\n\n\n
                      • \u8fd9\u4e2a\u6700\u7ec8\u5f97\u5230\u7684 New_A \u5411\u91cf<\/strong>\uff0c\u5c31\u662f A \u8bcd\u7ecf\u8fc7\u81ea\u6ce8\u610f\u529b\u673a\u5236\u6d17\u793c\u540e\u7684\u65b0\u8868\u793a\u3002\u5b83\u4e0d\u518d\u662f A \u8bcd\u81ea\u5df1\u7684\u4fe1\u606f\uff0c\u800c\u662f\u6574\u4e2a\u53e5\u5b50\u6240\u6709\u8bcd\u4fe1\u606f\u7684\u52a0\u6743\u878d\u5408\uff0c\u5176\u4e2d\u4e0e A \u8bcd\u6700\u76f8\u5173\u7684\u8bcd\u8d21\u732e\u4e86\u6700\u591a\u7684\u4fe1\u606f\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n

                        \u8fd9\u4e2a\u4ece Q,K,V \u5230\u65b0\u8868\u793a\u7684\u5b8c\u6574\u8fc7\u7a0b\uff0c\u88ab\u79f0\u4e3a\u4e00\u4e2a \u6ce8\u610f\u529b\u5934\uff08Attention Head\uff09<\/strong>\u3002<\/p>\n\n\n

                        \n
                        \"\"<\/figure><\/div>\n\n\n

                        \u3000\u3000<\/p>\n\n\n\n

                        Transformer \u7684\u5b8c\u6574\u67b6\u6784\u5256\u6790\ud83d\udd16<\/strong><\/p>\n\n\n\n

                        \n\n\n\n

                        \u7406\u89e3\u4e86\u81ea\u6ce8\u610f\u529b\u7684\u6838\u5fc3\u539f\u7406\uff0c\u6211\u4eec\u5c31\u53ef\u4ee5\u6765\u62fc\u88c5\u5b8c\u6574\u7684 Transformer \u79ef\u6728\u4e86\u3002\u4e00\u4e2a\u6807\u51c6\u7684 Transformer \u7531 *\u7f16\u7801\u5668\uff08Encoder\uff09\u548c<\/strong>\u89e3\u7801\u5668\uff08Decoder\uff09 \u4e24\u5927\u90e8\u5206\u7ec4\u6210\u3002<\/p>\n\n\n\n

                        \ud83d\udd39\u591a\u5934\u6ce8\u610f\u529b\u673a\u5236 (Multi-Head Attention)<\/strong><\/p>\n\n\n\n

                        \u4e00\u4e2a\u6ce8\u610f\u529b\u5934\uff0c\u53ea\u76f8\u5f53\u4e8e\u4ece\u4e00\u4e2a\u89d2\u5ea6\u53bb\u5ba1\u89c6\u53e5\u5b50\u4e2d\u8bcd\u4e0e\u8bcd\u7684\u5173\u7cfb\u3002\u4f46\u8fd9\u79cd\u5173\u7cfb\u662f\u590d\u6742\u7684\u3002<\/p>\n\n\n\n

                          \n
                        • \u6bd4\u5982\uff0c\u201cThe old dog didn’t cross the street\u2026\u2026\u201d\uff0cit<\/code> \u548c dog<\/code> \u7684\u5173\u7cfb\u662f\u6307\u4ee3\u5173\u7cfb\u3002<\/li>\n\n\n\n
                        • \u5728 \u201cmake up a story\u201d \u4e2d\uff0cmake<\/code> \u548c up<\/code> \u662f\u77ed\u8bed\u642d\u914d\u5173\u7cfb\u3002<\/li>\n<\/ul>\n\n\n\n

                          \u4e3a\u4e86\u8ba9\u6a21\u578b\u80fd\u4ece\u4e0d\u540c\u89d2\u5ea6\u7406\u89e3\u8fd9\u4e9b\u590d\u6742\u5173\u7cfb\uff0cTransformer \u5f15\u5165\u4e86\u591a\u5934\u6ce8\u610f\u529b\u673a\u5236\u3002<\/p>\n\n\n\n

                            \n
                          • \u505a\u6cd5<\/strong>\uff1a\u5b83\u4e0d\u662f\u53ea\u505a\u4e00\u6b21 Q,K,V \u7684\u53d8\u6362\u548c\u8ba1\u7b97\uff0c\u800c\u662f\u5e76\u884c\u5730\u505a\u591a\u6b21\uff08\u6bd4\u5982 8 \u6b21\uff09\u3002\u6bcf\u6b21\u90fd\u7528\u4e0d\u540c\u7684\u6743\u91cd\u77e9\u9635\uff08W_Q\u200b\uff0cW_K\u200b\uff0cW_V\u200b\uff09\uff0c\u751f\u6210\u4e0d\u540c\u7684 Q,K,V \u201c\u4e09\u4ef6\u5957\u201d\uff0c\u8fd9\u5c31\u5f62\u6210\u4e86 8 \u4e2a\u72ec\u7acb\u7684\u6ce8\u610f\u529b\u5934\u3002<\/li>\n\n\n\n
                          • \u6548\u679c<\/strong>\uff1a\u6bcf\u4e2a\u5934\u90fd\u53ef\u4ee5\u5b66\u5230\u4e00\u79cd\u4e0d\u540c\u7684\u6ce8\u610f\u529b\u6a21\u5f0f\u3002\u6bd4\u5982\uff0c\u4e00\u4e2a\u5934\u53ef\u80fd\u4e13\u6ce8\u4e8e\u53e5\u6cd5\u7ed3\u6784\uff0c\u53e6\u4e00\u4e2a\u5934\u53ef\u80fd\u4e13\u6ce8\u4e8e\u8bed\u4e49\u5173\u8054\u3002<\/li>\n\n\n\n
                          • \u6700\u540e<\/strong>\uff1a\u5c06 8 \u4e2a\u5934\u5f97\u5230\u7684 8 \u4e2a\u8f93\u51fa\u5411\u91cf\u62fc\u63a5\u8d77\u6765\uff0c\u518d\u901a\u8fc7\u4e00\u4e2a\u7ebf\u6027\u53d8\u6362\uff0c\u6574\u5408\u6210\u4e00\u4e2a\u6700\u7ec8\u7684\u8f93\u51fa\u5411\u91cf\u3002<\/li>\n<\/ul>\n\n\n\n

                            \u591a\u5934\u6ce8\u610f\u529b\uff1a\u5c31\u50cf\u8bf7\u4e86\u591a\u4e2a\u4e0d\u540c\u9886\u57df\u7684\u4e13\u5bb6\uff0c\u540c\u65f6\u5bf9\u4e00\u53e5\u8bdd\u8fdb\u884c\u5206\u6790\uff0c\u7136\u540e\u6c47\u603b\u4ed6\u4eec\u7684\u610f\u89c1\uff0c\u5f97\u5230\u4e00\u4e2a\u66f4\u5168\u9762\u3001\u66f4\u6df1\u523b\u7684\u7406\u89e3\u3002<\/p>\n\n\n\n

                            \u3000\u3000<\/p>\n\n\n\n

                            \ud83d\udd39\u7f16\u7801\u5668 (Encoder)\uff1a\u7406\u89e3\u4f60\u8f93\u5165\u7684\u53e5\u5b50<\/strong><\/p>\n\n\n\n

                            \u7f16\u7801\u5668\u7684\u4efb\u52a1\u662f\u8bfb\u61c2\u5e76\u7406\u89e3\u8f93\u5165\u7684\u6574\u4e2a\u53e5\u5b50\u3002\u4e00\u4e2a\u6807\u51c6\u7684 Transformer \u7f16\u7801\u5668\u7531 N \u4e2a\uff08\u539f\u8bba\u6587\u4e2d\u662f 6 \u4e2a\uff09\u76f8\u540c\u7684\u7f16\u7801\u5668\u5c42\u5806\u53e0\u800c\u6210\u3002<\/p>\n\n\n\n

                            \u6bcf\u4e2a\u7f16\u7801\u5668\u5c42\uff08Encoder Layer\uff09\u5305\u542b\u4e24\u4e2a\u6838\u5fc3\u5b50\u5c42<\/strong>\uff1a<\/p>\n\n\n\n

                              \n
                            1. \u8f93\u5165\u5c42<\/strong>\uff1a\u4e3b\u8981\u5305\u62ec Embedding \u548c\u4f4d\u7f6e\u7f16\u7801\n
                                \n
                              • a. Embedding\uff1a\u4e3b\u8981\u662f\u5c06 token \u6620\u5c04\u4e3a\u8bcd\u5411\u91cf<\/li>\n\n\n\n
                              • b. \u4f4d\u7f6e\u7f16\u7801\uff1a\u4e3a\u4e86\u8ba9 Transformer \u611f\u77e5\u8bcd\u8bed\u5728\u53e5\u5b50\u4e2d\u7684\u4f4d\u7f6e\u4fe1\u606f\uff0c\u6211\u4eec\u9700\u8981\u5bf9\u8bcd\u8bed\u7684\u4f4d\u7f6e\u8fdb\u884c\u7f16\u7801\u3002\u6bd4\u5982\u8bf4\uff1a\u201c\u6211\u7231\u5403\u82f9\u679c\u201d \u548c \u201c\u82f9\u679c\u7231\u5403\u6211\u201d \u8fd9\u4e24\u53e5\u8bdd\u5bf9\u4e8e Transformer \u7684\u81ea\u6ce8\u610f\u529b\u673a\u5236\u662f\u4e00\u6837\u7684\u3002\u4f4d\u7f6e\u7f16\u7801\u6211\u4eec\u5728 3.4 \u91cc\u5c55\u5f00\u804a\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n
                              • \u591a\u5934\u81ea\u6ce8\u610f\u529b\u5c42<\/strong>\uff1a\u5c31\u662f\u6211\u4eec\u521a\u521a\u8be6\u8ff0\u7684\u90e8\u5206\u3002\u5b83\u8d1f\u8d23\u5728\u8f93\u5165\u53e5\u5b50\u5185\u90e8\u5efa\u7acb\u8bcd\u4e0e\u8bcd\u4e4b\u95f4\u7684\u5173\u8054\u3002<\/li>\n\n\n\n
                              • \u524d\u9988\u795e\u7ecf\u7f51\u7edc\u5c42\uff08FFN\uff09<\/strong>\uff1a\u8fd9\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u3001\u7531\u4e24\u4e2a\u7ebf\u6027\u53d8\u6362\u548c\u4e00\u4e2a ReLU \u6fc0\u6d3b\u51fd\u6570\u7ec4\u6210\u7684\u5168\u8fde\u63a5\u7f51\u7edc\u3002\u4f60\u53ef\u4ee5\u628a\u5b83\u7406\u89e3\u6210\u4e00\u4e2a\u52a0\u5de5\u5382\uff0c\u5bf9\u6ce8\u610f\u529b\u5c42\u8f93\u51fa\u7684\u4fe1\u606f\u8fdb\u884c\u8fdb\u4e00\u6b65\u7684\u975e\u7ebf\u6027\u53d8\u6362\u548c\u63d0\u70bc\u3002<\/li>\n<\/ol>\n\n\n\n

                                \u6b64\u5916\uff0c\u6bcf\u4e2a\u5b50\u5c42\u5916\u9762\u90fd\u5305\u88f9\u7740\u4e24\u4e2a\u91cd\u8981\u7684 \u201c\u8f85\u52a9\u4ef6\u201d\uff1a<\/p>\n\n\n\n

                                  \n
                                • \u6b8b\u5dee\u8fde\u63a5\uff08Residual Connection\uff09<\/strong>\uff1a\u5c06\u5b50\u5c42\u7684\u8f93\u5165\u76f4\u63a5\u52a0\u5230\u5b50\u5c42\u7684\u8f93\u51fa\u4e0a\uff08Output=Layer(x)+x\uff09\u3002\u8fd9\u5c31\u50cf\u5728\u4fe1\u606f\u6d41\u52a8\u7684\u8fc7\u7a0b\u4e2d\u5f00\u4e86\u4e00\u6761\u7eff\u8272\u901a\u9053\uff0c\u4fdd\u8bc1\u4e86\u539f\u59cb\u4fe1\u606f\u4e0d\u4f1a\u5728\u6df1\u5c42\u7f51\u7edc\u4e2d\u4e22\u5931\uff0c\u6781\u5927\u5730\u7f13\u89e3\u4e86\u68af\u5ea6\u6d88\u5931\u95ee\u9898\uff0c\u8ba9\u8bad\u7ec3\u66f4\u6df1\u7684\u7f51\u7edc\u6210\u4e3a\u53ef\u80fd\u3002<\/li>\n\n\n\n
                                • \u5c42\u5f52\u4e00\u5316 (Layer Normalization)<\/strong>\uff1a\u5bf9\u6bcf\u4e2a\u6837\u672c\u7684\u7279\u5f81\u8fdb\u884c\u5f52\u4e00\u5316\uff0c\u4f7f\u5f97\u6570\u636e\u5206\u5e03\u66f4\u52a0\u7a33\u5b9a\uff0c\u52a0\u901f\u6a21\u578b\u6536\u655b\u3002<\/li>\n<\/ul>\n\n\n\n

                                  \u6240\u4ee5\uff0c\u4e00\u4e2a\u7f16\u7801\u5668\u5c42\u7684\u5b8c\u6574\u6d41\u7a0b\u662f\uff1a\u8f93\u5165 \u2192 \u591a\u5934\u81ea\u6ce8\u610f\u529b \u2192 Add & Norm \u2192 \u524d\u9988\u7f51\u7edc \u2192 Add & Norm \u2192 \u8f93\u51fa\u3002<\/p>\n\n\n

                                  \n
                                  \"\"<\/figure><\/div>\n\n\n

                                  \u3000\u3000<\/p>\n\n\n\n

                                  \ud83d\udd393.3 \u89e3\u7801\u5668 (Decoder)\uff1a\u521b\u4f5c\u5e76\u8f93\u51fa\u65b0\u7684\u53e5\u5b50<\/strong><\/p>\n\n\n\n

                                  \u89e3\u7801\u5668\u7684\u4efb\u52a1\u662f\u6839\u636e\u7f16\u7801\u5668\u5bf9\u539f\u6587\u7684\u7406\u89e3\uff0c\u751f\u6210\u76ee\u6807\u53e5\u5b50\u3002\u5b83\u540c\u6837\u7531 N \u4e2a\u89e3\u7801\u5668\u5c42\u5806\u53e0\u800c\u6210\u3002<\/p>\n\n\n\n

                                  \u89e3\u7801\u5668\u5c42\u6bd4\u7f16\u7801\u5668\u5c42\u8981\u590d\u6742\u4e00\u70b9\uff0c\u5b83\u6709\u4e09\u4e2a\u6838\u5fc3\u5b50\u5c42\uff1a<\/p>\n\n\n\n

                                    \n
                                  • 1. \u5e26\u63a9\u7801\u7684\u591a\u5934\u81ea\u6ce8\u610f\u529b\u5c42 (Masked Multi-Head Self-Attention Layer)\n
                                      \n
                                    • \u8fd9\u4e2a\u5c42\u7684\u4f5c\u7528\u548c\u7f16\u7801\u5668\u91cc\u7684\u81ea\u6ce8\u610f\u529b\u5c42\u7c7b\u4f3c\uff0c\u90fd\u662f\u8ba9\u89e3\u7801\u5668\u5728\u751f\u6210\u5f53\u524d\u8bcd\u65f6\uff0c\u5173\u6ce8\u5b83\u5df2\u7ecf\u751f\u6210\u7684\u524d\u9762\u90a3\u4e9b\u8bcd\u3002<\/li>\n\n\n\n
                                    • \u5173\u952e\u5728\u4e8e\u63a9\u7801\uff08Masked\uff09<\/strong>\u3002\u5728\u8bad\u7ec3\u65f6\uff0c\u6211\u4eec\u867d\u7136\u4e00\u6b21\u6027\u628a\u6574\u4e2a\u76ee\u6807\u53e5\u5b50\u90fd\u5582\u7ed9\u4e86\u89e3\u7801\u5668\uff0c\u4f46\u5728\u9884\u6d4b\u7b2c i \u4e2a\u8bcd\u65f6\uff0c\u6a21\u578b\u662f\u4e0d\u5141\u8bb8\u5077\u770b\u7b2c i \u4e2a\u8bcd\u4e4b\u540e\u7684\u5185\u5bb9\u7684<\/strong>\u3002\u8fd9\u4e2a\u63a9\u7801\u64cd\u4f5c\uff0c\u5c31\u662f\u628a\u672a\u6765\u7684\u4fe1\u606f\u7ed9\u906e\u6321\u8d77\u6765\uff0c\u6a21\u62df\u771f\u5b9e\u9884\u6d4b\u65f6\u4e00\u6b65\u4e00\u6b65\u751f\u6210\u7684\u60c5\u666f\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n
                                        \n
                                      • 2. \u7f16\u7801\u5668 – \u89e3\u7801\u5668\u6ce8\u610f\u529b\u5c42 (Encoder-Decoder Attention Layer)\n
                                          \n
                                        • \u8fd9\u662f\u8fde\u63a5\u7f16\u7801\u5668\u548c\u89e3\u7801\u5668\u7684\u6865\u6881\uff0c\u662f\u6574\u4e2a\u7ffb\u8bd1 \/ \u751f\u6210\u4efb\u52a1\u7684\u5173\u952e\u3002<\/li>\n\n\n\n
                                        • \u5728\u8fd9\u4e00\u5c42\u91cc\uff0cQuery\uff08Q\uff09\u6765\u81ea\u4e8e\u89e3\u7801\u5668\u524d\u4e00\u5c42\u7684\u8f93\u51fa<\/strong>\uff0c\u800cKey\uff08K\uff09\u548c Value\uff08V\uff09\u5219\u6765\u81ea\u4e8e\u7f16\u7801\u5668\u7684\u6700\u7ec8\u8f93\u51fa<\/strong>\u3002<\/li>\n\n\n\n
                                        • \u8fd9\u610f\u5473\u7740\uff1a\u89e3\u7801\u5668\u5728\u51b3\u5b9a\u4e0b\u4e00\u6b65\u8981\u751f\u6210\u4ec0\u4e48\u8bcd\u65f6\uff0c\u4f1a\u7528\u81ea\u5df1\u7684\u5f53\u524d\u72b6\u6001\uff08Q\uff09\u53bb\u67e5\u8be2\u7f16\u7801\u5668\u5bf9\u6574\u4e2a\u6e90\u53e5\u7684\u7406\u89e3\uff08K \u548c V\uff09\uff0c\u770b\u770b\u539f\u6587\u7684\u54ea\u4e2a\u90e8\u5206\u6700\u503c\u5f97\u5173\u6ce8\u3002<\/li>\n\n\n\n
                                        • \u6bd4\u5982\u7ffb\u8bd1 \u201cJe suis \u00e9tudiant\u201d \u2192 \u201cI am a student\u201d\u3002\u5f53\u89e3\u7801\u5668\u51c6\u5907\u751f\u6210 student<\/code> \u65f6\uff0c\u8fd9\u4e00\u5c42\u7684\u6ce8\u610f\u529b\u4f1a\u9ad8\u5ea6\u96c6\u4e2d\u5728\u7f16\u7801\u5668\u8f93\u51fa\u7684\u3001\u5bf9\u5e94\u4e8e \u00e9tudiant<\/code> \u7684\u5411\u91cf\u4e0a\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n
                                            \n
                                          • 3. \u524d\u9988\u795e\u7ecf\u7f51\u7edc\u5c42 (Feed-Forward Network, FFN)\n
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                                            • \u4e0e\u7f16\u7801\u5668\u4e2d\u7684\u4e00\u6837\uff0c\u8d1f\u8d23\u5bf9\u4fe1\u606f\u8fdb\u884c\u52a0\u5de5\u3002<\/li>\n\n\n\n
                                            • \u540c\u6837\uff0c\u89e3\u7801\u5668\u7684\u6bcf\u4e2a\u5b50\u5c42\u4e5f\u90fd\u5305\u88f9\u7740\u6b8b\u5dee\u8fde\u63a5\u548c\u5c42\u5f52\u4e00\u5316\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n
                                              \n
                                              \"\"<\/figure><\/div>\n\n\n

                                              \u3000\u3000<\/p>\n\n\n\n

                                              \ud83d\udd393.4 \u4f4d\u7f6e\u7f16\u7801 (Positional Encoding)<\/strong><\/p>\n\n\n\n

                                              \u6211\u4eec\u524d\u9762\u63d0\u5230\uff0cTransformer \u629b\u5f03\u4e86 RNN \u7684\u5faa\u73af\u7ed3\u6784\uff0c\u6240\u6709\u8bcd\u90fd\u662f\u5e76\u884c\u5904\u7406\u7684\u3002\u8fd9\u5e26\u6765\u4e86\u4e00\u4e2a\u65b0\u95ee\u9898\uff1a\u6a21\u578b\u4e0d\u77e5\u9053\u8bcd\u7684\u987a\u5e8f\u4e86\uff01\u201c\u4f60\u7231\u6211\u201d \u548c \u201c\u6211\u7231\u4f60\u201d \u5728 Transformer \u770b\u6765\u53ef\u80fd\u662f\u4e00\u6837\u7684\uff0c\u56e0\u4e3a\u5b83\u4eec\u90fd\u53ea\u662f\u4e00\u4e2a\u8bcd\u7684\u96c6\u5408\u3002<\/p>\n\n\n\n

                                              \u4e3a\u4e86\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898\uff0cTransformer \u5f15\u5165\u4e86\u4f4d\u7f6e\u7f16\u7801\uff08Positional Encoding\uff09<\/strong>\u3002<\/p>\n\n\n\n

                                                \n
                                              • \u505a\u6cd5<\/strong>\uff1a\u5728\u5c06\u8bcd\u5d4c\u5165\u8f93\u5165\u5230\u6a21\u578b\u4e4b\u524d\uff0c\u7ed9\u6bcf\u4e2a\u8bcd\u7684\u5d4c\u5165\u5411\u91cf\u52a0\u4e0a\u4e00\u4e2a\u7279\u6b8a\u7684\u4f4d\u7f6e\u5411\u91cf\u3002\u8fd9\u4e2a\u4f4d\u7f6e\u5411\u91cf\u662f\u6839\u636e\u8bcd\u5728\u53e5\u5b50\u4e2d\u7684\u7edd\u5bf9\u4f4d\u7f6e\uff08\u7b2c 1 \u4e2a\u3001\u7b2c 2 \u4e2a\u2026\u2026\uff09\u901a\u8fc7\u6b63\u5f26\u548c\u4f59\u5f26\u51fd\u6570\u751f\u6210\u7684\uff08\u89c1\u4e0b\u56fe\uff09\u3002<\/li>\n\n\n\n
                                              • \u6548\u679c<\/strong>\uff1a\u8fd9\u4e2a\u4f4d\u7f6e\u5411\u91cf\u4e3a\u6bcf\u4e2a\u8bcd\u6ce8\u5165\u4e86\u5176\u72ec\u4e00\u65e0\u4e8c\u7684\u4f4d\u7f6e\u4fe1\u606f\u3002\u7531\u4e8e\u4e09\u89d2\u51fd\u6570\u7684\u5468\u671f\u6027\uff0c\u6a21\u578b\u8fd8\u80fd\u5b66\u5230\u8bcd\u4e0e\u8bcd\u4e4b\u95f4\u7684\u76f8\u5bf9\u4f4d\u7f6e\u5173\u7cfb\u3002<\/li>\n<\/ul>\n\n\n
                                                \n
                                                \"\"<\/figure><\/div>\n\n\n
                                                  \n
                                                • \u6240\u4ee5\uff0c\u6a21\u578b\u7684\u6700\u7ec8\u8f93\u5165 = \u8bcd\u5d4c\u5165 + \u4f4d\u7f6e\u7f16\u7801<\/strong>\u3002<\/li>\n<\/ul>\n\n\n\n

                                                  \u3000\u3000<\/p>\n\n\n\n

                                                  Transformer \u7684\u6df1\u8fdc\u5f71\u54cd\ud83d\udd16<\/strong><\/p>\n\n\n\n

                                                  \n\n\n\n

                                                  Transformer \u4e0d\u4ec5\u662f\u4e00\u4e2a\u6a21\u578b\uff0c\u66f4\u662f\u4e00\u79cd\u8303\u5f0f\uff0c\u5b83\u5bf9 AI \u9886\u57df\u7684\u6539\u53d8\u53ef\u4ee5\u8bf4\u662f\u7ffb\u5929\u8986\u5730\u7684\u3002<\/p>\n\n\n\n

                                                  \ud83d\udd39 \u5960\u5b9a\u5927\u8bed\u8a00\u6a21\u578b\u7684\u57fa\u77f3<\/strong><\/p>\n\n\n\n

                                                  \u51e0\u4e4e\u6240\u6709\u4f60\u542c\u8fc7\u7684\u73b0\u4ee3\u5927\u8bed\u8a00\u6a21\u578b\uff0c\u90fd\u662f\u57fa\u4e8e Transformer \u67b6\u6784\u7684\u53d8\u4f53\uff1a<\/p>\n\n\n\n

                                                    \n
                                                  • BERT (Bidirectional Encoder Representations from Transformers)<\/strong>\uff1a\u4e3b\u8981\u4f7f\u7528\u4e86 Transformer \u7684\u7f16\u7801\u5668\uff08Encoder\uff09\u90e8\u5206\u3002\u5b83\u901a\u8fc7 \u201c\u5b8c\u5f62\u586b\u7a7a\u201d \u548c \u201c\u4e0b\u4e00\u53e5\u9884\u6d4b\u201d \u4efb\u52a1\u8fdb\u884c\u9884\u8bad\u7ec3\uff0c\u6210\u4e3a\u4e86\u4e00\u4e2a\u6781\u5f3a\u7684\u8bed\u8a00\u7406\u89e3\u6a21\u578b\uff0c\u5728\u5404\u79cd NLP \u4e0b\u6e38\u4efb\u52a1\uff08\u5982\u5206\u7c7b\u3001\u95ee\u7b54\uff09\u4e0a\u5c60\u699c\u3002<\/li>\n\n\n\n
                                                  • GPT (Generative Pre-trained Transformer)<\/strong>\uff1a\u4e3b\u8981\u4f7f\u7528\u4e86 Transformer \u7684\u89e3\u7801\u5668\uff08Decoder\uff09\u90e8\u5206\u3002\u5b83\u901a\u8fc7\u9884\u6d4b\u4e0b\u4e00\u4e2a\u8bcd\u7684\u4efb\u52a1\u8fdb\u884c\u9884\u8bad\u7ec3\uff0c\u5929\u751f\u5c31\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6587\u672c\u751f\u6210\u6a21\u578b\uff0cChatGPT \u5c31\u662f\u5176\u767b\u5cf0\u9020\u6781\u7684\u4ee3\u8868\u3002<\/li>\n<\/ul>\n\n\n\n

                                                    \u3000\u3000<\/p>\n\n\n\n

                                                    \ud83d\udd39\u8de8\u754c\u5f81\u670d\uff0c\u4e0d\u6b62\u4e8e NLP<\/strong><\/p>\n\n\n\n

                                                    Transformer \u7684\u6210\u529f\u601d\u60f3\u5f88\u5feb\u88ab\u8fc1\u79fb\u5230\u4e86\u5176\u4ed6\u9886\u57df\uff0c\u6700\u8457\u540d\u7684\u5c31\u662f\u8ba1\u7b97\u673a\u89c6\u89c9\uff08CV\uff09\u3002<\/p>\n\n\n\n

                                                      \n
                                                    • Vision Transformer (ViT)<\/strong>\uff1a\u5c06\u4e00\u5f20\u56fe\u7247\u5207\u6210\u4e00\u4e2a\u4e2a\u5c0f\u56fe\u5757\uff08Patches\uff09\uff0c\u628a\u6bcf\u4e2a\u56fe\u5757\u770b\u4f5c\u4e00\u4e2a\u8bcd\uff0c\u7136\u540e\u628a\u8fd9\u4e9b \u201c\u8bcd\u201d \u5e8f\u5217\u8f93\u5165\u5230\u6807\u51c6\u7684 Transformer \u7f16\u7801\u5668\u4e2d\u8fdb\u884c\u56fe\u50cf\u5206\u7c7b\u3002ViT \u8bc1\u660e\u4e86\uff0c\u5728\u6709\u8db3\u591f\u6570\u636e\u7684\u60c5\u51b5\u4e0b\uff0cTransformer \u67b6\u6784\u540c\u6837\u53ef\u4ee5\u5728 CV \u9886\u57df\u5ab2\u7f8e\u751a\u81f3\u8d85\u8d8a\u4f20\u7edf\u7684\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\uff08CNN\uff09\u3002<\/li>\n<\/ul>\n\n\n\n

                                                      \u3000\u3000<\/p>\n\n\n\n

                                                      \u6765\uff0c\u603b\u7ed3\u4e00\u4e0b\u5427\ud83d\udd16<\/strong><\/p>\n\n\n\n

                                                      \n\n\n\n
                                                        \n
                                                      1. Transformer \u7684\u8bde\u751f\u662f\u4e3a\u4e86\u89e3\u51b3 RNN\/LSTM \u7684\u5e76\u884c\u8ba1\u7b97\u74f6\u9888\u548c\u957f\u671f\u4f9d\u8d56\u95ee\u9898\u3002<\/li>\n\n\n\n
                                                      2. \u5176\u6838\u5fc3\u662f\u81ea\u6ce8\u610f\u529b\u673a\u5236<\/strong>\uff0c\u901a\u8fc7 Q, K, V \u7684\u8ba1\u7b97\uff0c\u8ba9\u6a21\u578b\u80fd\u4e00\u6b65\u5230\u4f4d\u5730\u6355\u6349\u53e5\u5b50\u4e2d\u4efb\u610f\u4e24\u4e2a\u8bcd\u4e4b\u95f4\u7684\u4f9d\u8d56\u5173\u7cfb\uff0c\u4e14\u53ef\u4ee5\u5e76\u884c\u8ba1\u7b97\u3002<\/li>\n\n\n\n
                                                      3. \u591a\u5934\u6ce8\u610f\u529b<\/strong>\u5141\u8bb8\u6a21\u578b\u4ece\u4e0d\u540c\u89d2\u5ea6\u7406\u89e3\u53e5\u5b50\u3002<\/li>\n\n\n\n
                                                      4. \u4f4d\u7f6e\u7f16\u7801<\/strong>\u89e3\u51b3\u4e86 Transformer \u672c\u8eab\u65e0\u6cd5\u611f\u77e5\u8bcd\u5e8f\u7684\u95ee\u9898\u3002<\/li>\n\n\n\n
                                                      5. \u5b8c\u6574\u7684 Transformer \u7531\u7f16\u7801\u5668\uff08\u7406\u89e3\u8f93\u5165\uff09\u548c\u89e3\u7801\u5668\uff08\u751f\u6210\u8f93\u51fa\uff09\u7ec4\u6210\u3002\u89e3\u7801\u5668\u6bd4\u7f16\u7801\u5668\u591a\u4e86\u4e00\u4e2a\u7f16\u7801\u5668 – \u89e3\u7801\u5668\u6ce8\u610f\u529b\u5c42\uff0c\u7528\u4e8e \u201c\u53c2\u8003\u201d \u539f\u6587\u3002<\/li>\n\n\n\n
                                                      6. Transformer \u67b6\u6784\u662f **BERT\uff08\u7f16\u7801\u5668\u6d3e\uff09\u548c<\/strong>GPT\uff08\u89e3\u7801\u5668\u6d3e\uff09** \u7b49\u6240\u6709\u73b0\u4ee3\u5927\u8bed\u8a00\u6a21\u578b\u7684\u5171\u540c\u57fa\u77f3\uff0c\u5e76\u6210\u529f\u8de8\u754c\u5230 CV \u7b49\u9886\u57df\u3002<\/li>\n<\/ol>\n\n\n\n

                                                        Transformer \u7528\u4e00\u79cd\u770b\u4f3c\u7b80\u5355\u7c97\u66b4\u4f46\u53c8\u6781\u5176\u6df1\u523b\u7684\u65b9\u5f0f\uff0c\u91cd\u5851\u4e86 AI \u6a21\u578b\u5904\u7406\u4fe1\u606f\u7684\u65b9\u5f0f\u3002\u7406\u89e3\u4e86\u5b83\uff0c\u4f60\u5bf9\u4e8e AI \u53ca\u5927\u8bed\u8a00\u6a21\u578b\u624d\u7b97\u662f\u771f\u6b63\u5165\u95e8\u3002<\/p>\n\n\n\n

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                                                        <\/p>\n","protected":false},"excerpt":{"rendered":"

                                                        \u8f6c\u8f7d\uff1a\u5c0f\u7ea2\u4e66 AI\u4ea7\u54c1\u8d75\u54e5 \u524d\u8a00\ud83d\udd16 \u4eca\u5929\uff0c\u6211\u4eec\u5c31\u6765\u804a\u804a\u8fd9\u4e2a AI \u65f6\u4ee3\u7684\u6e90\u5934\uff0c\u5b83\u5c31\u662f\u5927\u540d\u9f0e\u9f0e\u7684 \u2014\u2014Trans […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[48],"tags":[],"_links":{"self":[{"href":"https:\/\/92it.top\/index.php?rest_route=\/wp\/v2\/posts\/20238"}],"collection":[{"href":"https:\/\/92it.top\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/92it.top\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/92it.top\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/92it.top\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=20238"}],"version-history":[{"count":15,"href":"https:\/\/92it.top\/index.php?rest_route=\/wp\/v2\/posts\/20238\/revisions"}],"predecessor-version":[{"id":20280,"href":"https:\/\/92it.top\/index.php?rest_route=\/wp\/v2\/posts\/20238\/revisions\/20280"}],"wp:attachment":[{"href":"https:\/\/92it.top\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=20238"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/92it.top\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=20238"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/92it.top\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=20238"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}